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Record W1614536064

Analisis Pengaruh Kualitas Layanan Menggunakan MIM-E-QUAL terhadap Kepuasan, Loyalitas, Positive Word-of-Mouth dan Intention To Use Berdasarkan Persepsi Pengguna WeChat di Indonesia

2015· article· id· W1614536064 on OpenAlex
Fadhillah Rojabhy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Ilmiah Universitas Bakrie · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness administrationComputer scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Indonesia merupakan salah satu negara yang menunjukkan peningkatan jumlah pengguna aplikasi mobile instant messaging . Salah satu yang sangat gencar memasarkan aplikasi mobile instant messaging di Indonesia adalah Tencent lewat produknya aplikasi WeChat. Berdasarkan hasil penelitian GlobalWebIndex, WeChat mengalami pertumbuhan pengguna yang signifikan di Indonesia tetapi WeChat belum mampu mengungguli pesaingnya. Salah satu strategi WeChat untuk meningkatkan pengguna adalah fokus untuk mengajak pengguna yang belum aktif menjadi pengguna aktif agar lebih banyak pengguna yang menggunakan WeChat dan tetap loyal. Oleh karena itu, penelitian ini dilakukan untuk mengetahui faktor-faktor kualitas layanan apa saja berdasarkan metode MIM-E-QUAL yang memiliki pengaruh signifikan terhadap kepuasan pengguna. Selain itu, penelitian ini juga dilakukan untuk mengetahui pengaruh kepuasan pengguna terhadap loyalitas, positive word-of-mouth, dan intensi untuk menggunakan WeChat. Pengumpulan data dilakukan melalui kuesioner online, dan data berhasil dikumpulkan dari 199 responden yang merupakan pengguna WeChat di Indonesia. Analisis data dilakukan dengan menggunakan teknik Partial Least Squares (PLS). Hasil penelitian ini menunjukkan seluruh faktor kualitas layanan berdasarkan MIM-E-QUAL memiliki pengaruh signifikan terhadap kepuasan pengguna dimana faktor reliability (kehandalan) memberikan pengaruh paling signifikan. Penelitian ini juga membuktikan bahwa kepuasan pengguna memberikan pengaruh paling signifikan terhadap loyalitas pengguna. Kata Kunci: Kualitas Layanan, MIM-E-QUAL, WeChat, Kepuasan Pelanggan, Loyalitas, Positive Word-of-mouth , Intention to Use Indonesia is one of the fastest growth mobile instant messanging (MIM) applications user. One of MIM apps that still growing in Indonesia is Tencent with WeChat application. Based on the research results of GlobalWebIndex, WeChat experienced significant growth in users in Indonesia but WeChat has not been able to outperform its competitors. One of strategy to increase WeChat user is focused to encourage users who have actively become active users so that more users are using WeChat and remain loyal. Therefore, this study was conducted to determine the factors of service quality using MIM-E-QUAL methods which has an influence on user satisfaction. In addition, this study also conducted to determine the effect of user satisfaction to loyalty, positive word-of-mouth and intention to use WeChat. Data collected through online questionnaires and data were collected from 199 respondents who are users WeChat in Indonesia. Data analysis was done by using Partial Least Squares (PLS). All factors in MIM-E-QUAL which included Reliability, Assurance, Personalization, Enjoyment, Perceived Price Level, and Ease of Use are confirmed to have significance influence with satisfaction. Reliability has the most significance influence with satisfaaction. This study also shows that user satisfaction is the most significant influence on user loyalty. Key words: Service Quality, MIM-E-QUAL, WeChat, Customer Satisfaction, Loyalty, Positive Word-of-mouth, Intention to Use Daftar Pustaka Ahmad, A., & Al-Zu'bi, H. (2011, Februari 2011). E-banking Functionality and Outcomes of Customer Satisfaction: An Empirical Investigation. International Journal of Marketing Studies, 3 (1), 50-65. Retrieved from www.cosecenet.org/ijms Baskoro, W. (2013, Maret 1). Retrieved Maret 08, 2015, from Trenologi: http://www.trenologi.com/2013030111340/wechat-resmi-hadir-di-indonesia/ Belanche, D., Casalo, L., & Guinaliu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: the moderating effect of perceived risk. Journal of retailing and consumer services, 19 (1), 124-132. Retrieved from ScienceDirect Casalo, L. V., Flavian, C., & Guinaliu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26 (6), 399-417. Retrieved from Emerald Insight Chun-zhi, W., & Kai, W. (2008). Research on User Loyalty of Instant Messanging Tools. 11th Joint Conference on Information Sciences (p. Desember). Atlantis Press. Retrieved from http://www.atlantis-press.com/publications/aisr/jcis-08/index-jcis08.html?http%3A//www.atlantis-press.com/php/paper-details.php%3Ffrom%3Dauthor+index%26id%3D1783%26querystr%3Dauthorstr%253DW%2526publication%253Djcis2008 Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30 (4), 289–300. Retrieved from ScienceDirect Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e‐WOM Scale: word‐of‐mouth measurement scale for e‐services context. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 27 (1), 5-23. Retrieved from Ualberta Latan, H., & Ghozali, I. (2015). Partial Least Squares: Konsep, teknik, dan aplikasi menggunakan program SmartPLS 3.0. Semarang: Badan Penerbit Universitas Diponegoro. Liao , S.-H., Chung, Y.-C., Hung, Y., & Widowati, R. (2010, Desember). The impacts of brand trust, customer satisfaction, and brand loyalty on word-of-mouth. Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on , 1319-1323. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5674402&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5674402 Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior , 41 , pp. 104–111. Retrieved from ScienceDirect Priambada, A. (2014, Desember 18). Retrieved Maret 09, 2015, from DailySocial: https://dailysocial.net/post/wechat-user-experience-konten-lokal-2015 Sanjaya, J. (2014, November 26). iTech . Retrieved Maret 07, 2015, from iTech: http://itechmagz.com/2014/11/26/gwi-pengguna-wechat-indonesia-meningkat-895/ Sulistyobudi, H. (2015, April 6). Public Relation Department Head. (F. Rojabhy, Interviewer) Wei, W. A., & Jianping, W. U. (2014). Development and Inspection of WeChat Electronic Service Quality Scale. International Business and Management , 9(2). Retrieved from http://www.cscanada.net/index.php/ibm/article/view/5879

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.265
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it